Business Analytics With R Programming

Business Analytics With R Programming Training in Pune-Mumbai-Thane-online-classroom-classes. R is a programming language and free software environment for statistical computing and graphics that is supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls, surveys of data miners, and studies of scholarly literature databases show that R's popularity has increased substantially in recent years.
Why learn R ?
R is a well-developed, simple and effective programming language which includes conditionals, loops, user defined recursive functions and input and output facilities.
R has an effective data handling and storage facility,
R provides a suite of operators for calculations on arrays, lists, vectors and
matrices.
R provides a large, coherent and integrated collection of tools for data analysis.
R provides graphical facilities for data analysis and display either directly at the
computer or printing at the papers.
As a conclusion, R is world’s most widely used statistics programming language. It's the # 1 choice of data scientists and supported by a vibrant and talented community of contributors.
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Business Analytics With R Programming Training in Pune: Introduction to the Course

 How to use R to explore and visualize data
 How to use randomization and simulation to build inferential ideas
 How to effectively create stories using the ideas to convey information to audience
 Introduction to data sources in R (built-in)
 What is a data science pipeline?
Exposure to data collection, data manipulation, data viz, data modelling, inference, correlation and regression, interpretation & convey.Pre-requisite/Requirements

We assume no prerequisites: no algebra, no calculus and no prior programming experience. This course is intended to be a gentle and nice introduction to the practice of statistics in terms of how data scientists, statisticians, data journalists and other scientist analyse data and write inference about data.

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